R notebook map of live data

Earthquake Crack

Data for this example comes from the USGS

First we wire up the feed for the GeoJSON into this spatial data frame:

day1quake <- geojsonio::geojson_read("https://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/1.0_day.geojson",
  what = "sp")

Then we load up leaflet and stick that data into a map:

library(leaflet)

m <- leaflet(day1quake) %>%
  addTiles() %>%  # Add default OpenStreetMap map tiles
  addMarkers()
m  # Print the map

This is some code to customize markers so that we can see data points symbolized by magnitude of earthquake.

getColor <- function(day1quake) {
  sapply(day1quake$mag, function(mag) {
  if(mag <= 4) {
    "green"
  } else if(mag <= 5) {
    "orange"
  } else {
    "red"
  } })
}

icons <- awesomeIcons(
  icon = 'ion-close-circled',
  iconColor = 'black',
  library = 'ion',
  markerColor = getColor(day1quake)
)

Now we take those symbols and use them in a second map below:

leaflet(day1quake) %>% addTiles() %>%
  addAwesomeMarkers(icon=icons, popup =~paste("Size:", 
                                             mag,
                                             "<br/>",
                                             "Place:",
                                             place))

now we generate a data frame from the geojson feed data:

day1df <- data.frame(day1quake)
head(day1df)

From there we could throw the data into various visuals and summaries such as this histogram:

hist(day1df$mag)
rug(quantile(day1df$mag, na.rm = TRUE), col=2, lwd=2.5)

The next step here would be to wire this all up to a shiny app to work as an online web mapping application and a real time dashboard.